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8 years 20 days ago
Road Scene Understanding from a Single Image
Road scene segmentation is important in computer vision for diļ¬€erent applications such as autonomous driving and pedestrian detection. Recovering the 3D structure of road scenes ...
Jose M. Alvarez, Theo Gevers, Yann LeCun, Antonio ...
PR
2007
165views more  PR 2007»
9 years 9 months ago
A trainable feature extractor for handwritten digit recognition
This article focusses on the problems of feature extraction and the recognition of handwritten digits. A trainable feature extractor based on the LeNet5 convolutional neural netwo...
Fabien Lauer, Ching Y. Suen, Gérard Bloch
ICANN
2010
Springer
9 years 10 months ago
Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors
Training convolutional neural networks (CNNs) on large sets of high-resolution images is too computationally intense to be performed on commodity CPUs. Such architectures however ...
Dominik Scherer, Hannes Schulz, Sven Behnke
ICDAR
2009
IEEE
10 years 4 months ago
Error-Correcting Output Coding for the Convolutional Neural Network for Optical Character Recognition
It is known that convolutional neural networks (CNNs) are efficient for optical character recognition (OCR) and many other visual classification tasks. This paper applies error-co...
Huiqun Deng, George Stathopoulos, Ching Y. Suen

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dereylyResearch Scientist, MSc
MIPT
dereyly
ICPR
2006
IEEE
10 years 10 months ago
Rotation-Invariant Neoperceptron
Approaches based on local features and descriptors are increasingly used for the task of object recognition due to their robustness with regard to occlusions and geometrical defor...
Beat Fasel, Daniel Gatica-Perez
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